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Remote Azure Jobs in Baton Rouge, LA (NOW HIRING)

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

This position can be remote. The Impact You Will Have * Own the end-to-end AI/ML technical strategy ... Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML ...

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How much do remote azure jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote azure in Baton Rouge, LA is $98,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $117,600.00 per year, depending on experience, location, and employer.

What is a remote Azure?

A Remote Azure job refers to a position where professionals work from a location outside the traditional office environment, focusing on Microsoft Azure, which is a cloud computing platform. These roles typically involve managing, developing, deploying, or maintaining cloud-based solutions using Azure services and tools. Common job titles include Azure Cloud Engineer, Azure Administrator, or Azure Developer, and tasks may involve configuring virtual machines, managing databases, ensuring cloud security, or automating deployments. Remote Azure professionals use collaboration tools to communicate with their teams and may support clients or internal projects across different time zones.

What are the key skills and qualifications needed to thrive as a remote Azure engineer, and why are they important?

To thrive as a Remote Azure Engineer, you need expertise in cloud computing, networking, and security, typically backed by experience with Microsoft Azure and relevant certifications such as Azure Administrator or Azure Solutions Architect. Familiarity with Azure DevOps, PowerShell scripting, and infrastructure-as-code tools like ARM templates or Terraform is often required. Strong problem-solving skills, self-motivation, and effective remote communication abilities make candidates stand out in this role. These skills and qualities are crucial for ensuring secure, efficient cloud solutions and seamless collaboration in distributed teams.

What are some common challenges faced by remote Azure professionals, and how can they be effectively managed?

Remote Azure professionals often face challenges such as coordinating across distributed teams, managing cloud resources securely, and staying current with frequent Azure platform updates. Overcoming these challenges involves proactive communication using collaboration tools, adhering to best practices for cloud security, and dedicating time for ongoing learning through official Microsoft resources. Regularly participating in team meetings and leveraging automation can also help streamline workflows and ensure alignment with organizational goals.

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Remote Azure jobs near you
Infographic showing various Remote Azure job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $98,904 per year, or $47.5 per hour.

Specialist Solutions Architect - AI/ML

Databricks

Central, LA • On-site, Remote

$58.25 - $76.75/hr

Full-time

Posted 16 days ago

Key responsibilities

  • Lead the end-to-end AI/ML technical strategy for customer accounts, from discovery to production deployment.

  • Lead complex architecture discussions to design scalable, production-grade AI/ML solutions including RAG, tool calling, multi-agent orchestration, and observability systems.

  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.

Job description

FEQ427R382

As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers - owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote. 

The Impact You Will Have

  • Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

  • 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
    • ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
    • AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  • Willingness to travel up to 30% as needed

Nice to Have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

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